| tum@_t@_eh vs Kazuya | 6–0 | 100.00% |
| tum@_t@_eh vs Lars | 2–4 | 33.33% |
| tum@_t@_eh vs Alisa | 1–5 | 16.67% |
| tum@_t@_eh vs King | 3–2 | 60.00% |
| tum@_t@_eh vs Steve | 5–0 | 100.00% |
| tum@_t@_eh vs Dragunov | 5–0 | 100.00% |
| tum@_t@_eh vs Hwoarang | 2–2 | 50.00% |
| tum@_t@_eh vs Lili | 3–0 | 100.00% |
| tum@_t@_eh vs Jun | 1–2 | 33.33% |
| tum@_t@_eh vs Reina | 2–1 | 66.67% |
| tum@_t@_eh vs Law | 2–0 | 100.00% |
| tum@_t@_eh vs Nina | 0–2 | 0.00% |
| tum@_t@_eh vs Fahkumram | 2–0 | 100.00% |
| tum@_t@_eh vs Xiaoyu | 1–0 | 100.00% |
| tum@_t@_eh vs Armor King | 1–0 | 100.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.